Uncovering Community Disruption Using Remote Sensing: An Assessment of Early Recovery in Post-earthquake Haiti

Author(s)Bevington, John
Author(s)Pyatt, Sarah
Author(s)Hill, Arleen
Author(s)Honey, Matthew
Author(s)Adams, Beverley
Author(s)Davidson, Rachel
Author(s)Brink, Susan
Author(s)Chang, Stephanie
Author(s)Panjwani, Dilnoor
Author(s)Mills, Robin
Author(s)Amyx, Paul
Author(s)Eguchi, Ron
Date Accessioned2011-03-24T12:49:10Z
Date Available2011-03-24T12:49:10Z
Publication Date2010
AbstractThis work is part of an exploratory study that seeks to describe the levels of community-scale building damage and socio-economic disruption following the January 2010 Haiti earthquake. Damage and disruption were analyzed for pre-event, post-event, and early recovery time periods in seven Haitian communities. Specifically here, remote sensing analysis related to early recovery and a remote sensing-based early recovery scale are presented. Damage datasets from the GEO-CAN post-disaster assessment were combined with analyses of fine resolution satellite imagery, captured 4 months after the earthquake, to quantify the early recovery status of damaged buildings. Disruption was established from community-level interviews conducted in May 2010. Preliminary results show little correlation between disruption and physical damage, although the integration of remote sensing, field data, interviews and community meetings was a successful approach for assessing disruption. Remote sensing was seen to be an effective tool in establishing levels of early recovery and supporting cross-community comparisons.en_US
URLhttp://udspace.udel.edu/handle/19716/5850
Languageen_USen_US
PublisherDisaster Research Centeren_US
Part of SeriesMiscellaneous Report;69
KeywordsComputer Technologyen_US
KeywordsEarthquake-Case Studiesen_US
KeywordsStructural Collapseen_US
KeywordsPublic Worksen_US
KeywordsDisaster Recoveryen_US
TitleUncovering Community Disruption Using Remote Sensing: An Assessment of Early Recovery in Post-earthquake Haitien_US
TypeTechnical Reporten_US
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